Association Between Artificial Intelligence Based Chest Computed Tomography and Clinical/Laboratory Characteristics with Severity and Mortality in COVID-19 Hospitalized Patients
Jiawei Ye,1,* Yingying Huang,2,* Caiting Chu,3 Juan Li,1 Guoxiang Liu,1 Wenjie Li,1 Chengjin Gao1 1Department of Emergency Medicine, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 200092, People's Republic of China; 2Dementia Research C...
Saved in:
Main Authors: | Ye J (Author), Huang Y (Author), Chu C (Author), Li J (Author), Liu G (Author), Li W (Author), Gao C (Author) |
---|---|
Format: | Book |
Published: |
Dove Medical Press,
2024-05-01T00:00:00Z.
|
Subjects: | |
Online Access: | Connect to this object online. |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Pulp calcification identification on cone beam computed tomography: an artificial intelligence pilot study
by: Li Ye, et al.
Published: (2024) -
Characteristics of pneumonia with negative chest radiography in cases confirmed by computed tomography
by: Takatoshi Kitazawa, et al.
Published: (2020) -
Artificial intelligence for early detection of renal cancer in computed tomography: A review
by: William C. McGough, et al.
Published: (2023) -
Parapneumonic empyema diagnosed by chest radiograph and computed tomography
by: David M. Widlus, et al.
Published: (2013) -
Using artificial intelligence to compute Severity of Alopecia Tool scores
by: Hang Nguyen, PhD, et al.
Published: (2025)